code: def embeddings_response():
      return {
          "embeddings": [
              {
                  "value": [
                      3.25,
                      0.7685547,
                      2.65625,
                      -0.30126953,
                      -2.3554688,
                      1.2597656,
                  ]
              }
          ],
          "headers": {"Content-Type": "application/json"},
      }
  
file_path: mlflow/tests/gateway/providers/test_palm.py
imports: from unittest import mock
  import pytest
  from aiohttp import ClientTimeout
  from fastapi import HTTPException
  from fastapi.encoders import jsonable_encoder
  from pydantic import ValidationError
  from mlflow.gateway.config import RouteConfig
  from mlflow.gateway.constants import MLFLOW_GATEWAY_ROUTE_TIMEOUT_SECONDS
  from mlflow.gateway.providers.palm import PaLMProvider
  from mlflow.gateway.schemas import chat, completions, embeddings
  from tests.gateway.tools import MockAsyncResponse
label_desc: Use image node_id 6 for calling a global function with example usage: embeddings_response() and returns: dict